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Keystone project on Addressing socio-technical limitations of Large Language Models (LLMs), particularly for medical and social computing https://adsolve.github.io/ ). The current role involves augmenting
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collaboration with the agencies operating the systems in Alaska, Peru and New Caledonia. Candidate profile Applicants should hold a PhD in Geophysics or data science. Strong programming skills and experience in
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strong focus on digital data and methods. The successful candidate is expected to benefit from and collaborate with other team members, including the PI and approximately ten other researchers (MSc and PhD
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of Research ExperienceNone Additional Information Website for additional job details https://emploi.cnrs.fr/Offres/Doctorant/UMR5814-CARMAR-022/Default.aspx Work Location(s) Number of offers available1Company
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as a PhD student is limited to 4 years, teaching and other department duties may be added with max 20%. Placement: Luleå. Starting date upon agreement. For further information, you are welcome
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on the HASRL framework and the empirical taxonomy developed by the PhD candidate. Model training and fine-tuning. Fine-tune large language models on annotated educational datasets collected during the project
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Outbred Rats (https://ratgenes.org/ ). Whom would we like to hire? Professional experience Must Have You have experience analysing indirect genetic effects (= social genetic effects) using large-scale
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8 Jul 2026 Job Information Organisation/Company Saarland University Department Data Driven Simulation and Analysis in Material Science Research Field Computer science Researcher Profile Established
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eligible. Information regarding postdoctoral fellow salary, which is determined by the number of years post PhD, and benefits can be found at https://postdoc.hms.harvard.edu/guidelines . Create a Job Match
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, our SW Simulators, and our facilities. For further information, you may refer to https://www.uni.lu/snt-en/research-groups/sigcom/ . Your role The successful candidate is expected to assume a key role